Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
AdaptiveK: Complexity-Driven Sparse Autoencoders for Interpretable Language Model Representations
As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2508.17320.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-07-15T10:30:51.183063Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-04T13:39:50.946741Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation d8a7849b-196c-4e15-8c38-e0cdc7fe3736 · inbound
Beyond the Hard Budget: Sparsity Regularizers for More Interpretable Top-k Sparse Autoencoders cites this paper.
Beyond the Hard Budget: Sparsity Regularizers for More Interpretable Top-k Sparse Autoencoders AdaptiveK: Complexity-Driven Sparse Autoencoders for Interpretable Language Model Representations
Reference 13
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-04T13:39:50.948033Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation eb96ab2b-0b0f-4056-9315-72e49e4e7db8 · inbound
Beyond the Hard Budget: Sparsity Regularizers for More Interpretable Top-k Sparse Autoencoders cites this paper.
Beyond the Hard Budget: Sparsity Regularizers for More Interpretable Top-k Sparse Autoencoders AdaptiveK: Complexity-Driven Sparse Autoencoders for Interpretable Language Model Representations
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-07-15T10:30:51.183063Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.